Kevin E. Knockenhauer
Impact in
- Molecular Biology top 10%
- Nuclear Structure and Function
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- Polyamine Metabolism and Applications
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Structural Biology top 10%
Papers in
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- RNA Research and Splicing 7
- Nuclear Structure and Function 5
- Ubiquitin and proteasome pathways 3
- RNA and protein synthesis mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 3
- RNA modifications and cancer 3
- RNA regulation and disease 3
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- Blood Coagulation and Thrombosis Mechanisms 3
- Co-authors
- Thomas Schwartz (12 shared papers)Robert A. Saxton (3 shared papers)David M. Sabatini (3 shared papers)Lynne Chantranupong (2 shared papers)Timothy C. Wang (1 shared paper)Rachel L. Wolfson (1 shared paper)Michael E. Pacold (1 shared paper)K. Kelley (1 shared paper)
- Journals
- Blood (3 papers)Cell (2 papers)Blood Advances (1 paper)Nature Communications (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Kevin E. Knockenhauer
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 991
- Structural Biology 19
- Cell Biology 210
- Aging 19
- Physiology 40
Countries citing papers authored by Kevin E. Knockenhauer
This map shows the geographic impact of Kevin E. Knockenhauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kevin E. Knockenhauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin E. Knockenhauer more than expected).
Fields of papers citing papers by Kevin E. Knockenhauer
This network shows the impact of papers produced by Kevin E. Knockenhauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kevin E. Knockenhauer. The network helps show where Kevin E. Knockenhauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin E. Knockenhauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 362 | |
| 2 | 2016 | 304 | |
| 3 | 2016 | 242 | |
| 4 | 2017 | 82 | |
| 5 | 2015 | 71 | |
| 6 | 2019 | 58 | |
| 7 | 2015 | 44 | |
| 8 | 2023 | 31 | |
| 9 | 2021 | 31 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 24 | |
| 12 | 2017 | 21 | |
| 13 | 2020 | 17 | |
| 14 | 2015 | 15 | |
| 15 | 2008 | 11 | |
| 16 | 2016 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Kevin E. Knockenhauer
Kevin E. Knockenhauer is a scholar working on Molecular Biology, Hematology, Immunology, Epidemiology and Genetics, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Nuclear Structure and Function (5 papers), Ubiquitin and proteasome pathways (3 papers), RNA and protein synthesis mechanisms (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), RNA modifications and cancer (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Molecular Biology (991 citations), Structural Biology (19 citations), Cell Biology (210 citations), Aging (19 citations) and Physiology (40 citations). Kevin E. Knockenhauer has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Thomas Schwartz, Robert A. Saxton, David M. Sabatini, Lynne Chantranupong, Timothy C. Wang, Rachel L. Wolfson, Michael E. Pacold, K. Kelley, Robert A. Copeland and Nina C. Leksa. Their work appears in journals such as Blood, Cell, Blood Advances, Nature Communications and SLAS DISCOVERY.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.